code: def concat(dfs: List[DataframeLike], engine: Engine, debug=False):
      if debug and len(dfs) > 1:
          df0 = dfs[0]
          for c in df0:
              logger.debug("checking df0: %s :: %s", c, df0[c].dtype)
              for df_i in dfs[1:]:
                  if c not in df_i:
                      logger.warning(
                          "missing df0[%s]::%s in df_i", c, df0[c].dtype
                      )
                  if df0[c].dtype != df_i[c].dtype:
                      logger.warning(
                          "mismatching df0[c]::%s vs df_i[c]::%s for %s",
                          df0[c].dtype,
                          df_i[c].dtype,
                          c,
                      )
          for df_i in dfs[1:]:
              for c in df_i:
                  logger.debug("checking df_i: %s", c)
                  if c not in df0:
                      logger.warning(
                          "missing df_i[%s]::%s in df0",
                          c,
                          df_i[c].dtype,
                      )
          logger.debug("all checked!")
  
      if engine == Engine.PANDAS:
          return pd.concat(dfs, ignore_index=True, sort=False)
  
      if engine == Engine.DASK:
          import dask.dataframe
  
          return dask.dataframe.concat(dfs).reset_index(drop=True)
  
      if engine == Engine.CUDF:
          import cudf
  
          try:
              return cudf.concat(dfs, ignore_index=True)
          except TypeError as e:
              logger.warning(
                  "Failed to concat, likely due to column type issue, try converting to a string; columns"
              )
              for df in dfs:
                  logger.warning("df types :: %s", df.dtypes)
              raise e
  
      if engine == Engine.DASK:
          import dask.dataframe as dd
  
          return dd.concat(dfs)
  
      if engine == Engine.DASK_CUDF:
          import dask_cudf
  
          return dask_cudf.concat(dfs)
  
      raise NotImplementedError("Unknown engine")
  
imports: from typing import TYPE_CHECKING, Any, Dict, List, Optional
  from .Engine import Engine, DataframeLike, DataframeLocalLike
  import numpy, pandas, pyarrow, sys
  from .util import setup_logger
label_desc: Use image node_id 6 for calling a global function with example usage: concat(dfs, engine, debug) and returns: pd, dask, dd, dask_cudf, cudf